Image fusion localization algorithm based on SIFT and 3D model

Weidong Huang; Weiguo Zhang; Lan Pan; Yuan Qi; Xiaofeng Xu; Haotian Zheng

doi:10.1117/12.2587356

12 March 2021 Image fusion localization algorithm based on SIFT and 3D model

Weidong Huang, Weiguo Zhang, Lan Pan, Yuan Qi, Xiaofeng Xu, Haotian Zheng

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117636H (2021) https://doi.org/10.1117/12.2587356
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

In this paper, we propose a method to calculate the position of interest objects in the image by matching the visual image with the three-dimensional model. Through the sensor and 3D model from the height accuracy of geographic information, to eliminate the error and improve the positioning accuracy. In this method, two visible light sensors are used for positioning, SIFT algorithm is used for image matching, and feature points are obtained. The obtained feature points are mapped to the known 3D model. Using the mapped geographic information, 3D model coordinate information and geographic information, the corresponding relationship between 3D model coordinates and original image coordinates is obtained. Finally, the precise positioning information is obtained through the pixel coordinates of the target in the image. Compared with the existing algorithms, the proposed method can achieve high-precision real-time geographic positioning, and the positioning calculation process is simple, which can effectively improve the positioning efficiency.

Citation Download Citation

Weidong Huang, Weiguo Zhang, Lan Pan, Yuan Qi, Xiaofeng Xu, and Haotian Zheng "Image fusion localization algorithm based on SIFT and 3D model", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117636H (12 March 2021); https://doi.org/10.1117/12.2587356

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available